Owing to the varied interests of tourists visiting a place, listing out all possible places of interests in a particular city can be very tedious. As a result, providing assistance to tourists to visit their places of interest in an efficient manner has been highly sought after. Besides, the number of people who use smart phones is also on the rise. As a way of taking advantage of the same, this project focuses on creating a personalized Android mobile tourism application using Semantic Web. This is achieved by creating a personalised profile for the user. This profile is used to suggest places that he/she can visit based on his current location and interest as opposed to the current systems which display all possible locations based on his previous search histories
, Kartik, S., Mohammed, R., Sailusha, R., F., H., and Archanaa R., “Personalised Tourism Mobile Application using Semantic Web”, International Journal of Software and Web Sciences, vol. 2, 2014.